PROMISE 2025: 21st International Conference on Predictive Models and Data Analytics in Software Engineering Trondheim, Norway, June 23-27, 2025

The International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE) is an annual forum for researchers and practitioners to present, discuss and exchange ideas, results, expertise and experiences in construction and/or application of predictive models, artificial intelligence, and data analytics in software engineering. PROMISE encourages researchers to publicly share their data in order to provide interdisciplinary research between the software engineering and data mining communities, and seek for verifiable and repeatable experiments that are useful in practice.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Full papers (Technical papers 10 pages) PROMISE accepts a wide range of papers where AI tools have been applied to SE such as predictive modeling and other AI methods. Both positive and negative results are welcome, though negative results should still be based on rigorous research and provide details on lessons learned.
• Industrial papers: (2-4 pages) Results, challenges, lessons learned from industrial applications of software analytics.
• New idea papers: (2-4 pages) Novel insights or ideas that may yet to be fully tested. 
• Journal First: Selected papers will be invited for journal first presentations at PROMISE. Details to follow.

For Industrial papers and New Idea papers, please clearly indicate the paper category in the keywords below the abstract.

PROMISE 2025 submissions must meet the following criteria (for more details see PROMISE 2025:

• be original work, not published or under review elsewhere while being considered;
• conform to the submission format requirements of the FSE 2025 Companion proceedings; 
• not exceed 10 (4) pages for technical (industrial, new-ideas) papers including references;
• be written in English;
• be prepared for double blind review
• on submission, please choose the paper category appropriately, i.e., technical (main track, 10 pages max); industrial (4 pages max); and new idea papers (4 pages max).

To satisfy the double blind requirement submissions must meet the following criteria:

• no author names and affiliations in the body and metadata of the submitted paper;
• self-citations are written in the third person;
• no references to the authors personal, lab, or university website;
• no references to personal accounts on GitHub, bitbucket, Google Drive, etc.

Submissions will be peer reviewed by at least three experts from the international program committee. Submissions will be evaluated on the basis of their originality, importance of contribution, soundness, evaluation, quality, and consistency of presentation, and appropriate comparison to related work.

Green Open Access

Similar to other leading SE conferences, PROMISE supports and encourages Green Open Access, i.e., self-archiving. Authors can archive their papers on their personal home page, an institutional repository of their employer, or at an e-print server such as arXiv (preferred). Also, given that PROMISE papers heavily rely on software data, we would like to draw authors that leverage data scraped from GitHub of GitHub's Terms of Service, which require that "publications resulting from that research are open access". 

We also strongly encourage authors to submit their tools and data to Zenodo, which adheres to FAIR (findable, accessible, interoperable and re-usable) principles and provides DOI versioning.

Contact

All questions about submissions should be emailed to yxtvse@rit.edu or lili.wei@mcgill.ca.